معرفی
Lovro Šubelj is an Associate Professor at the University of Ljubljana, Faculty of Computer and Information Science, specializing in Network Science and Machine Learning with Graphs. His work bridges theoretical and applied network analysis, with contributions to community detection, graph convexity, and network simplification.
- Research focuses on graph algorithms for network abstraction
- Teaching: MSc/PhD courses on Network Science, BSc programming courses
- Collaborates with institutions like Leiden University and Imperial College London
Research Interests: His primary work explores structural and dynamic properties of complex networks, including community detection via label propagation, convex skeletons for network simplification, and intermediacy metrics for citation analysis. Secondary interests span data mining, stream mining, and statistical network modeling.
Publication Trends: Recent work emphasizes scalable network algorithms (2023-2025), graph embeddings (2021), and geometric network properties like convexity (2018-2019). Earlier projects (2012-2017) addressed citation network analysis, social network fraud detection, and database consistency evaluation.
Teaching & Outreach: Provides educational materials on YouTube, including courses on network science and programming. Maintains open-access data/code repositories through KONECT, ICON, and GitHub.
